Research Engineer
We are seeking a dedicated and innovative Research Engineer to focus on Multimodal Large Language Models (m-LLMs) and Text-to-Speech (TTS) technologies.
This role offers a unique opportunity to engage in cutting-edge research and development of AI solutions that integrate various data modalities and enhance interactive systems.
The ideal candidate will have experience in large language models, deep learning, NLP, and TTS technologies. They should be proficient in Python and familiar with frameworks like TensorFlow or PyTorch.
Key Responsibilities
- Research & Development :
- Develop state-of-the-art m-LLMs and generative AI models processing multiple data modalities including text, audio, and visual inputs.
- Design and conduct experiments testing new algorithms, architectures, and fine-tuning techniques for TTS applications.
- Stay updated with academic and industry advancements in m-LLMs, TTS, and AI agents to inform ongoing projects.
Requirements
Educational Background :Pursuing an advanced degree in Computer Science, Machine Learning, NLP, or a closely related field.Technical Expertise :Experience in large language models, deep learning, NLP, and TTS technologies.Proficiency in Python and experience in frameworks like TensorFlow or PyTorch.Understanding of algorithm design, data structures, and model optimization techniques relevant to m-LLMs and TTS systems.